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Beschreibung
Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study.
What You Will Learn
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Build basic Python-based artificial intelligence (AI) applications
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Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suite
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Create several types of projects using Python and Google OR-Tools
Who This Book Is For
Developers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.
Mathematical Models of Optimization Problems with Google OR-Tools
Details
| Verlag | APRESS |
| Ersterscheinung | 27. Februar 2018 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 452 Gramm |
| Format | Softcover |
| ISBN-13 | 9781484234228 |
| Auflage | 1st ed. |
| Seiten | 279 |